Fast computation of satellite gravitational gradient.

Fast computation of static stress changes on 2D faults from final slip distributions

Fast computation of the median by successive binning

Fast Convergence Rate of Multiple Kernel Learning with Elastic-net Regularization

Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference

Fast convolution technique for image generation

Fast data acquisition in imaging ellipsometry using four-frame method

Fast estimation of posterior probabilities in change-point models through a constrained hidden Markov model

Fast estimation of pulse height spectra and extraction of transport parameters for semiconductor detectors

Fast Flat Fields from Moving Extended Sources

Fast global convergence of gradient methods for high-dimensional statistical recovery

Fast Identification of Biological Pathways Associated with a Quantitative Trait Using Group Lasso with Overlaps

Fast Inference of Interactions in Assemblies of Stochastic Integrate-and-Fire Neurons from Spike Recordings

Fast intelligent image sensor with application to image restoration

Fast intensity variations of hard X-rays from solar flares

Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach

Fast Learning Rate of lp-MKL and its Minimax Optimality

Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness

Fast Learning Rate of Non-Sparse Multiple Kernel Learning and Optimal Regularization Strategies

Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks